Computer Vision: Three-dimensional Reconstruction Techniques
From facial recognition to self-driving cars, the applications of computer vision are vast and ever-expanding. Geometry plays a fundamental role in this discipline, providing the necessary mathematical framework to understand the underlying principles of how we perceive and interpret visual informat...
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| Yhteisötekijä: | |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Painos: | 1st ed. 2024. |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-34507-4 |
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Sisällysluettelo:
- Foreword
- Preface
- Acknowledgements
- Introduction
- Fundamentals of Imaging
- The Pinhole Camera Model
- Camera Calibration
- Absolute and Exterior Orientation
- Two-view Geometry
- Relative Orientation
- Reconstruction from Two Images
- Nonlinear Regression
- Stereopsis: geometry
- Stereopsis: matching
- Renge Sensors
- Multiview Euclidean Reconstruction
- 3D Registration
- Multiview Projective Reconstruction and Autocalibration
- Multi-View Stereo Reconstruction
- Image-based Rendering
- A Notions of linear algebra
- B Matrix Differential Calculation
- C Regression
- D Notions of Projective Geometry
- D Math Lab code
- Index.